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Course Detail

Course Name Special Distribution Functions
Course Code 24ASD645
Program M. Sc. in Applied Statistics and Data Analytics
Credits 3
Campus Coimbatore , Kochi

Syllabus

Inverted Beta Distribution, Noncentral Beta Distribution, Beta Binomial Distribution, Cauchy Distribution, Noncentral Chi-Squared Distribution, Dirichlet Distribution, Empirical Distribution Function, Erlang Distribution, Error Distribution, Generalized Exponential Distributions, Noncentral F-distribution, Inverted Gamma Distribution, Normal Gamma Distribution, Generalized Gamma Distribution, Inverse Gaussian (Wald) Distribution, Lognormal Distribution, Pareto Distribution, Power Function Distribution, Power Series (Discrete) Distribution, Wishart (Central) Distribution.

Objectives and Outcomes

Course Outcomes:

CO1:  To understand the basics of different beta distributions.

CO2:  To understand the distribution like Empirical and Erlang.

CO3: Know the importance of inverse Gama distribution and generalized exponential distribution.

CO4: To understand the inverse Gaussian distribution and Lognormal distribution.

CO-PO Mapping:

 

PO1

PO2

PO3

PO4

PO5

PO5

PO6

PO7

PO8

PO9

PO10

PO11

PO12

CO1

2

3

2

2

2

2

          

2

1

CO2

2

2

2

2

2

2

          

2

1

CO3

2

2

2

2

2

3

          

2

1

CO4

2

2

1

2

2

2

          

2

1

Text Books / References

Text Books /Reference Books

  1. Catherine Forbes, Merran Evens, Nicholas Hastings and Brian Peacock. (2010). Statistical

Distributions, Fourth Edition, Wiley & Sons Publication, USA.

  1. Karl Bury (1999) : Statistical distributions in Engineering , Cambridge University Press.

     3. Thomopoulos, Nick T (2017): Statistical Distributions: Applications and Parameter Estimates, Springer.

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